Display title | Entropy (information theory) |
Default sort key | Entropy (information theory) |
Page length (in bytes) | 68,519 |
Namespace ID | 0 |
Page ID | 176289 |
Page content language | en - English |
Page content model | wikitext |
Indexing by robots | Allowed |
Number of redirects to this page | 1 |
Counted as a content page | Yes |
Page image |  |
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Page creator | imported>LinXED |
Date of page creation | 15:07, 6 February 2024 |
Latest editor | imported>LinXED |
Date of latest edit | 15:07, 6 February 2024 |
Total number of edits | 1 |
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Description | Content |
Article description: (description ) This attribute controls the content of the description and og:description elements. | In information theory, the entropy of a random variable is the average level of "information", "surprise", or "uncertainty" inherent to the variable's possible outcomes. Given a discrete random variable $ X $, which takes values in the alphabet $ {\mathcal {X}} $ and is distributed according to $ p\colon... |